FKIE_CVE-2017-8164
Vulnerability from fkie_nvd - Published: 2018-03-05 19:29 - Updated: 2026-06-17 01:25
Severity
Summary
Some Huawei smart phones with software EVA-L09C34B142; EVA-L09C40B196; EVA-L09C432B210; EVA-L09C440B138; EVA-L09C464B150; EVA-L09C530B127; EVA-L09C55B190; EVA-L09C576B150; EVA-L09C635B221; EVA-L09C636B193; EVA-L09C675B130; EVA-L09C688B143; EVA-L09C703B160; EVA-L09C706B145; EVA-L09GBRC555B171; EVA-L09IRLC368B160; EVA-L19C10B190; EVA-L19C185B220; EVA-L19C20B160; EVA-L19C432B210; EVA-L19C636B190; EVA-L29C20B160; EVA-L29C636B191; EVA-TL00C01B198; VIE-L09C02B131; VIE-L09C109B181; VIE-L09C113B170; VIE-L09C150B170; VIE-L09C25B120; VIE-L09C40B181; VIE-L09C432B181; VIE-L09C55B170; VIE-L09C605B131; VIE-L09ITAC555B130; VIE-L29C10B170; VIE-L29C185B181; VIE-L29C605B131; VIE-L29C636B202 have a denial of service (DoS) vulnerability. An attacker can trick a user to install a malicious application to exploit this vulnerability. Successful exploitation can cause camera application unusable.
References
Impacted products
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{
"lang": "en",
"value": "Some Huawei smart phones with software EVA-L09C34B142; EVA-L09C40B196; EVA-L09C432B210; EVA-L09C440B138; EVA-L09C464B150; EVA-L09C530B127; EVA-L09C55B190; EVA-L09C576B150; EVA-L09C635B221; EVA-L09C636B193; EVA-L09C675B130; EVA-L09C688B143; EVA-L09C703B160; EVA-L09C706B145; EVA-L09GBRC555B171; EVA-L09IRLC368B160; EVA-L19C10B190; EVA-L19C185B220; EVA-L19C20B160; EVA-L19C432B210; EVA-L19C636B190; EVA-L29C20B160; EVA-L29C636B191; EVA-TL00C01B198; VIE-L09C02B131; VIE-L09C109B181; VIE-L09C113B170; VIE-L09C150B170; VIE-L09C25B120; VIE-L09C40B181; VIE-L09C432B181; VIE-L09C55B170; VIE-L09C605B131; VIE-L09ITAC555B130; VIE-L29C10B170; VIE-L29C185B181; VIE-L29C605B131; VIE-L29C636B202 have a denial of service (DoS) vulnerability. An attacker can trick a user to install a malicious application to exploit this vulnerability. Successful exploitation can cause camera application unusable."
},
{
"lang": "es",
"value": "Algunos smartphones Huawei con software EVA-L09C34B142; EVA-L09C40B196; EVA-L09C432B210; EVA-L09C440B138; EVA-L09C464B150; EVA-L09C530B127; EVA-L09C55B190; EVA-L09C576B150; EVA-L09C635B221; EVA-L09C636B193; EVA-L09C675B130; EVA-L09C688B143; EVA-L09C703B160; EVA-L09C706B145; EVA-L09GBRC555B171; EVA-L09IRLC368B160; EVA-L19C10B190; EVA-L19C185B220; EVA-L19C20B160; EVA-L19C432B210; EVA-L19C636B190; EVA-L29C20B160; EVA-L29C636B191; EVA-TL00C01B198; VIE-L09C02B131; VIE-L09C109B181; VIE-L09C113B170; VIE-L09C150B170; VIE-L09C25B120; VIE-L09C40B181; VIE-L09C432B181; VIE-L09C55B170; VIE-L09C605B131; VIE-L09ITAC555B130; VIE-L29C10B170; VIE-L29C185B181; VIE-L29C605B131 y VIE-L29C636B202 tienen una vulnerabilidad de denegaci\u00f3n de servicio (DoS). Un atacante puede enga\u00f1ar a un usuario para que instale una aplicaci\u00f3n maliciosa para explotar esta vulnerabilidad. Si se logra, la aplicaci\u00f3n de la c\u00e1mara podr\u00eda volverse inutilizable."
}
],
"id": "CVE-2017-8164",
"lastModified": "2026-06-17T01:25:53.820",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": true
}
],
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "LOW",
"baseScore": 3.3,
"baseSeverity": "LOW",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L",
"version": "3.0"
},
"exploitabilityScore": 1.8,
"impactScore": 1.4,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2018-03-05T19:29:00.957",
"references": [
{
"source": "psirt@huawei.com",
"tags": [
"Vendor Advisory"
],
"url": "http://www.huawei.com/en/psirt/security-advisories/huawei-sa-20171129-01-smartphone-en"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "http://www.huawei.com/en/psirt/security-advisories/huawei-sa-20171129-01-smartphone-en"
}
],
"sourceIdentifier": "psirt@huawei.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-20"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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